{"id":"W4387336551","doi":"10.29329/ijiaar.2023.602.10","title":"Microsatellite Markers: The Efficient Method for the Determination of Pollen Contamination in Conifer Seed Orchards","year":2023,"lang":"en","type":"article","venue":"International Journal of Innovative Approaches in Agricultural Research","topic":"Forest Insect Ecology and Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pollen; Seed orchard; Microsatellite; Biology; Genetic diversity; Tree breeding; Population; Genetic marker; Agronomy; Horticulture; Agroforestry; Biotechnology; Botany; Woody plant","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008244911,0.00008092261,0.0001260114,0.0003067596,0.00007818807,0.0000346044,0.000682817,0.00005396588,0.00006535708],"category_scores_gemma":[0.001171637,0.00003893546,0.00005344626,0.00169483,0.0002932812,0.0001374508,0.0002762687,0.0003563447,0.000009835098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004375422,"about_ca_system_score_gemma":0.00002896403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008851122,"about_ca_topic_score_gemma":0.0001335834,"domain_scores_codex":[0.9980394,0.00039783,0.0004823228,0.0001351969,0.0007334923,0.0002117531],"domain_scores_gemma":[0.9971295,0.002060759,0.0002559563,0.0000758509,0.0004628893,0.00001501879],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.003709981,0.001663513,0.1445969,0.0001228718,0.0006479502,0.0001227632,0.03460825,0.04668896,0.2887426,0.2010959,0.01108579,0.2669145],"study_design_scores_gemma":[0.0006405471,0.0001269955,0.9675617,0.0000453607,0.000002930967,0.00001323497,0.006607702,0.01519326,0.006863542,0.002283307,0.0006050682,0.00005637047],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9846557,0.00003111812,0.005803543,0.00572863,0.0002079795,0.0008758372,0.00001029621,0.00000346275,0.002683427],"genre_scores_gemma":[0.9977906,0.00002731561,0.00153389,0.00005883586,0.0000422806,0.00009475444,0.0000102343,0.00000414908,0.0004379907],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8229648,"threshold_uncertainty_score":0.2857538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09259330319077548,"score_gpt":0.3785806491764384,"score_spread":0.2859873459856629,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}